Role of dynamics in neural computations underlying visual processing

Laurent Perrinet

Acknowledgements:

  • Rick Adams and Karl Friston @ UCL - Wellcome Trust Centre for Neuroimaging
  • Mina Aliakbari Khoei and Anna Montagnini - FACETS-ITN Marie Curie Training

LACONEU 2019: 5th Latin-American Summer School in Computational Neuroscience, 17/1/2019

Olshausen and Field (1997) Sparse coding with an overcomplete basis set: A strategy employed by V1?

Olshausen and Field (1997) Sparse coding with an overcomplete basis set: A strategy employed by V1?

Olshausen and Field (1997) Sparse coding with an overcomplete basis set: A strategy employed by V1?

Bosking et al. (1997) Journal of Neuroscience

Kremkow, LP, Monier, Alonso, Aertsen, Fregnac, Masson (2016) Push-pull receptive field organization and synaptic depression: Mechanisms for reliably encoding naturalistic stimuli in V1

Kremkow, LP, Monier, Alonso, Aertsen, Fregnac, Masson (2016) Push-pull receptive field organization and synaptic depression: Mechanisms for reliably encoding naturalistic stimuli in V1

Kremkow, LP, Monier, Alonso, Aertsen, Fregnac, Masson (2016) Push-pull receptive field organization and synaptic depression: Mechanisms for reliably encoding naturalistic stimuli in V1

Kremkow, LP, Monier, Alonso, Aertsen, Fregnac, Masson (2016) Push-pull receptive field organization and synaptic depression: Mechanisms for reliably encoding naturalistic stimuli in V1

Outline

  1. About Dynamics, vision and neurons
  2. Active Inference

  3. Back to the present
  4. Perspectives ?

Ravello, LP, Escobar, Palacios (2018) Scientific Reports

Ravello, LP, Escobar, Palacios (2018) Scientific Reports

Ravello, LP, Escobar, Palacios (2018) Scientific Reports

Ravello, LP, Escobar, Palacios (2018) Scientific Reports

Ravello, Escobar, Palacios, LP (2019) in prep

Olshausen and Field (1997) Sparse coding with an overcomplete basis set: A strategy employed by V1?

Ravello, Escobar, Palacios, LP (2019) in prep

Ravello, Escobar, Palacios, LP (2019) in prep

Ravello, Escobar, Palacios, LP (2019) in prep

Outline

  1. About Dynamics, vision and neurons
  2. Active Inference
  3. Back to the present

  4. Perspectives ?

(from http://cs231n.github.io/convolutional-networks/)

Role of dynamics in neural computations underlying visual processing

Laurent Perrinet

Acknowledgements:

  • Rick Adams and Karl Friston @ UCL - Wellcome Trust Centre for Neuroimaging
  • Mina Aliakbari Khoei and Anna Montagnini - FACETS-ITN Marie Curie Training

LACONEU 2019: 5th Latin-American Summer School in Computational Neuroscience, 17/1/2019